摘要
目前,智能电视已经普及,观众在面对海量的电视节目资源时,往往无法快速找到自己喜欢的节目。基于此,提出在全连接神经网络前端插入注意力层,并使用该神经网络构建一个电视节目推荐模型。实验证明,所构建的模型具有较高的推荐准确率和效率。
At present,smart television has been popularized,and the audience often cannot quickly find their favorite programs in the face of massive television program resources.Based on this,the attention layer is inserted into the front end of the fully connected neural network,and a television program recommendation model is constructed using the neural network.Experimental results show that the proposed model has high recommendation accuracy and efficiency.
作者
李欣宇
LI Xinyu(College of Communication,Qingdao University of Science and Technology,Qingdao 266061,China)
出处
《电视技术》
2024年第9期225-228,共4页
Video Engineering
关键词
全连接神经网络
注意力机制
电视节目推荐
fully connected neural network
attention mechanism
television program recommendation
